remote
Junior Data Engineer - Collins Aerospace
Data Engineer
Entry‑level data engineer building scalable pipelines with Python, SQL, and Airflow on AWS, supporting data ingestion, transformation, and modeling for aerospace analytics.
About the role
Key Responsibilities
- Design, develop, and maintain data pipelines using Python and SQL to ingest, transform, and load data from diverse sources.
- Implement and schedule workflows with Apache Airflow, ensuring reliability and scalability.
- Collaborate with data scientists and analysts to understand data requirements and deliver clean, well‑documented datasets.
- Monitor pipeline performance, troubleshoot issues, and optimize queries for efficiency.
- Maintain data quality standards, perform data profiling, and support data governance initiatives.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Proficiency in Python and SQL for data manipulation and automation.
- Experience with ETL concepts and workflow orchestration (Airflow preferred).
- Familiarity with AWS services (S3, Redshift, Glue) and data modeling best practices.
- Strong analytical skills, attention to detail, and ability to work collaboratively in a hybrid environment.